# EmoLLM's professional evaluation ## Introduction This document describes a professional evaluation method and provides EmoLLM's scores on professional metrics. ## Evaluation The evaluation method, metric, and dataset from the paper《CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling》. * Metric: Comprehensiveness, Professionalism, Authenticity, Safety * Method: Turn-Based Dialogue Evaluation * Dataset: CPsyCounE ## Result * Model: * [EmoLLM V1.0](https://openxlab.org.cn/models/detail/jujimeizuo/EmoLLM_Model) (InternLM2_7B_chat_qlora) * [EmoLLM V2.0](https://openxlab.org.cn/apps/detail/Farewell1/EmoLLMV2.0) (InternLM2_7B_chat_full) * Score： | Model | Comprehensiveness | Professionalism | Authenticity | Safety | |-------------------|-----------------------|-------------------|-----------------|---------| | InternLM2_7B_chat_qlora | 1.32 | 2.20 | 2.10 | 1.00 | | InternLM2_7B_chat_full | 1.40 | 2.45 | 2.24 | 1.00 | ## Comparison * EmoLLM V2.0 is greatly improved in all scores compared to EmoLLM V1.0! Surpasses the performance of Role-playing ChatGPT on counseling tasks! * EmoLLM V1.0 is greatly improved on InternLM2_7B_Chat; Performance on the counseling task was similar compared to ChatGPT(Role-playing) * The comparison results are from the paper《CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling》 